# Category «Machine Learning»

## Tensorflow: Basics -I

Let us start with some basics of addition and multiplication program and represent them in a tensorboard. import tensorflow as tfx=tf.constant(1,name=’x’)m=tf.constant(2,name=’y’)z=tf.constant(3,name=’z’)prod=tf.multiply(x,m,name=’multiply’)add=tf.add(prod,z,name=’add’)with tf.Session() as sess: writer=tf.summary.FileWriter(logdir=’./graph’,graph=sess.graph) print(sess.run(add))Output is :5 Now, if we want to check the graph, we have to run following command in Linux(Note: I have used Kali linux), read different types of tensor in …

## Data Analysis-101(WNS)

This analysis is for finding a click event of the user, the details are as : Zbay is an E-commerce website which sells a variety of products at its online platform. Zbay records user behaviour of its customers and stores it as a log. However, most of the times, users do not buy the products …

## Time Series Analysis

Time Series is a statistical data that are arranged in chronological order over a period of time. There are various forces that affect the value of phenomenon in a time series, these may be divided into four categories, commonly known as the factor of time series. 1- Simple trend or Long-term variation or Secular trend. …

## NetworkX

One of the powerful library used for graph building activities is NetworkX. It is widely used in solving graph problems and network related queries. Lets have a look into NetworkX now. In order to use it with python import it, import networkx as nx The following basic graph types are provided as Python classes: Graph This class …

## Machine is learning Hindi

How much time we have spent in order to learn ‘ABCD..’ it’s about a year. Now, we are living in the era of machines and assume your machine asks you to teach ‘Hindi’ –the fourth most speaking language around the world. With the help of deep learning, it is too easy and effective. So moving …

## Word Encoding and Embedding Algorithms

When we start communicating with a machine there is only one issue machine never understand different categories by name. If we tell a machine the colour of a balloon is red it will not understand  ‘Red’ rather than it will keep it as 255,0,0 0r 1,0,0 it means it encodes it in its own mother …